PREDICTION MODEL FOR LUMINECENT DINOFLAGELLATE AND Pseudomonas sp. IN WHITE LEG SHRIMP (Litopenaeus vannamei) POND

Abstract

The occurrence of luminescent shrimp pond water can be prevented from the conditions of existing environmental factors, including water quality and microorganisms. One of the preventive efforts that can be done is to use a prediction model to prevent the occurrence of cases of luminescent shrimp pond water, by combining the parameters that play a role in the shrimp pond water with STELLA (System Thinking, Experimental Learning laboratory with Animation) application system. The occurrence of cases of luminescent ponds which are still often found in East Java, Indonesia; inspire to create predictive models for the emergence of luminescent shrimp pond water cases. The target of this research was a prediction model to determine when the phenomenon of shrimp pond water is luminescence which can be used by white leg shrimp ( L. vannamei ) farmers by using the STELLA 9.1.4 application. This research was an experimental descriptive study based on bioluminescence in white leg shrimp farm. Measurement of the daily water quality sampling was dissolved oxygen, pH, salinity and temperature. Meanwhile, weekly measurements were made for nitrate, nitrite, alkalinity, Total Organic Matter (TOM), and plankton. Meanwhile, the bacterial test was only carried out when the pond luminescent. The result of this research was a prediction model for prevention of luminescent shrimp pond water. The bacteria found were Pseudomonas sp. and phytoplankton was dominated by diatom, chlorella, and. Peridinium sp., a dinoflagellate, was a suspect causing of luminescent shrimp water pond.